1,720,987 research outputs found
Modeling the absorption lineshape of embedded systems from molecular dynamics: A tutorial review
In this tutorial review, we focus on a multiscale method to compute the electronic absorption line shape of molecular dyes embedded in a biological environment. To treat the coupling of the electronic excitations with the nuclear degrees of freedom of the system, we use the spectral density (SD) of the exciton-phonon coupling computed from a Born-Oppenheimer molecular dynamics, which takes into account the effect of the biological environment on the dye's nuclear and electronic degrees of freedom. The theoretical basis of the approach is given, as well as a comprehensive description of the computational protocol for the extraction of the energy gap autocorrelation function evaluating the electronic excitation along the classical trajectory. Furthermore a benchmark application from a recently published study is presented as an example of how the derived SD can be used in computational spectroscopy to accurately simulate the absorption lineshape, including both vibronic and temperature effects
Exciton properties and optical spectra of light harvesting complex II from a fully atomistic description
We present a fully atomistic simulation of linear optical spectra (absorption, fluorescence and circular dichroism) of the Light Harvesting Complex II (LHCII) trimer using a hybrid approach, which couples a quantum chemical description of the chlorophylls with a classical model for the protein and the external environment (membrane and water). The classical model uses a polarizable Molecular Mechanics force field, thus allowing mutual polarization effects in the calculations of the excitonic properties. The investigation is performed both on the crystal structure and on structures generated by a μs long classical molecular dynamics simulation of the complex within a solvated membrane. The results show that this integrated approach not only provides a good description of the excitonic properties and optical spectra without the need for additional refinements of the excitonic parameters, but it also allows an atomistic investigation of the relative importance of electronic, structural and environment effects in determining the optical spectra
Predicting Solvatochromism of Chromophores in Proteins through QM/MM and Machine Learning
Solvatochromism occurs in both homogeneous solvents and more complex biological environments, such as proteins. While in both cases the solvatochromic effects report on the surroundings of the chromophore, their interpretation in proteins becomes more complicated not only because of structural effects induced by the protein pocket but also because the protein environment is highly anisotropic. This is particularly evident for highly conjugated and flexible molecules such as carotenoids, whose excitation energy is strongly dependent on both the geometry and the electrostatics of the environment. Here, we introduce a machine learning (ML) strategy trained on quantum mechanics/molecular mechanics calculations of geometrical and electrochromic contributions to carotenoids’ excitation energies. We employ this strategy to compare solvatochromism in protein and solvent environments. Despite the important specifities of the protein, ML models trained on solvents can faithfully predict excitation energies in the protein environment, demonstrating the robustness of the chosen descriptors
Quantum Chemical Modeling of the Photoinduced Activity of Multichromophoric Biosystems
Multichromophoric biosystems represent a broad family with very diverse members, ranging from light-harvesting pigment-protein complexes to nucleic acids. The former are designed to capture, harvest, efficiently transport, and transform energy from sunlight for photosynthesis, while the latter should dissipate the absorbed radiation as quickly as possible to prevent photodamages and corruption of the carried genetic information. Because of the unique electronic and structural characteristics, the modeling of their photoinduced activity is a real challenge. Numerous approaches have been devised building on the theoretical development achieved for single chromophores and on model Hamiltonians that capture the essential features of the system. Still, a question remains: is a general strategy for the accurate modeling of multichromophoric systems possible? By using a quantum chemical point of view, here we review the advancements developed so far highlighting differences and similarities with the single chromophore treatment. Finally, we outline the important limitations and challenges that still need to be tackled to reach a complete and accurate picture of their photoinduced properties and dynamics
Protein-Driven Electron-Transfer Process in a Fatty Acid Photodecarboxylase
Naturally occurring photoenzymes are rare in nature, but among them, fatty acid photodecarboxylases derived from Chlorella variabilis (CvFAPs) have emerged as promising photobiocatalysts capable of performing the redox-neutral, light-induced decarboxylation of free fatty acids (FAs) into C1-shortened n-alka(e)nes. Using a hybrid QM/MM approach combined with a polarizable embedding scheme, we identify the structural changes of the active site and determine the energetic landscape of the forward electron transfer (fET) from the FA substrate to the excited flavin adenine dinucleotide. We obtain a charge-transfer diradical structure where a water molecule rearranges spontaneously to form a H-bond interaction with the excited flavin, while the FA’s carboxylate group twists and migrates away from it. Together, these structural modifications provide the driving force necessary for the fET to proceed in a downhill direction. Moreover, by examining the R451K mutant where the FA substrate is farther from the flavin core, we show that the marked reduction of the electronic coupling is counterbalanced by an increased driving force, resulting in a fET lifetime similar to the WT, thereby suggesting a resilience of the process to this mutation. Finally, through QM/MM molecular dynamic simulations, we reveal that, following fET, the decarboxylation of the FA radical occurs within tens of picoseconds, overcoming an energy barrier of ∼0.1 eV. Overall, by providing an atomistic characterization of the photoactivation of CvFAP, this work can be used for future protein engineering
EXAT: EXcitonic analysis tool
We introduce EXcitonic Analysis Tool (EXAT), a program able to compute optical spectra of large excitonic systems directly from the output of quantum mechanical calculations performed with the popular Gaussian 16 package. The software is able to combine in an excitonic scheme the single-chromophore properties and exciton couplings to simulate energies, coefficients, and excitonic spectra (UV-vis, CD, and LD). The effect of the environment can also be included using a Polarizable Continuum Model. EXAT also presents a simple graphical user interface, which shows on-screen both site and exciton properties. To show the potential of the method, we report two applications on a a chiral perturbed BODIPY system and DNA G-quadruplexes, respectively. The program is available online at . (c) 2017 Wiley Periodicals, Inc
Fast Method for Excited-State Dynamics in Complex Systems and Its Application to the Photoactivation of a Blue Light Using Flavin Photoreceptor
The excited-state dynamics of molecules embedded in complex (bio)matrices is still a challenging goal for quantum chemical models. Hybrid QM/MM models have proven to be an effective strategy, but an optimal combination of accuracy and computational cost still has to be found. Here, we present a method which combines the accuracy of a polarizable embedding QM/MM approach with the computational efficiency of an excited-state self-consistent field method. The newly implemented method is applied to the photoactivation of the blue-light-using flavin (BLUF) domain of the AppA protein. We show that the proton-coupled electron transfer (PCET) process suggested for other BLUF proteins is still valid also for AppA
Elucidating the role of structural fluctuations, and intermolecular and vibronic interactions in the spectroscopic response of a bacteriophytochrome
We present the first comprehensive multiscale computational investigation of Resonance Raman, absorption and Circular Dichroism spectra of the resting state of theDeinococcus radioduransphytochrome. The spectra are simulated in all their components, namely the energy position and the lineshapes of both the far-red and the blue bands. To achieve such a goal, we have combined a 4.5 μs MD simulation of the solvated dimeric phytochrome with a hybrid quantum mechanics/molecular mechanics (QM/MM) model, which accounts for both electrostatic and mutual polarization effects between the QM and the MM subsystems. A good agreement with experiments is found for all the three spectra. Moreover, we find a transient H-bond network within the binding pocket of the biliverdin chromophore that, unexpectedly, does not significantly affect the spectra. In parallel, we characterize the vibrations that are more strongly coupled to the biliverdin excitation, confirming the important role of the hydrogen-out-of-plane mode of its vinyl C-H together with the expected C=C stretching of the double bond involved in the photoisomerization
How orange carotenoid protein controls the excited state dynamics of canthaxanthin
Orange Carotenoid Protein (OCP) is a ketocarotenoid-binding protein essential for photoprotection in cyanobacteria. The main steps of the photoactivated conversion which converts OCP from its resting state to the active one have been extensively investigated. However, the initial photochemical event in the ketocarotenoid which triggers the large structural changes finally leading to the active state is still not understood. Here we employ QM/MM surface hopping nonadiabatic dynamics to investigate the excited-state decay of canthaxanthin in OCP, both in the ultrafast S2 to S1 internal conversion and the slower decay leading back to the ground state. For the former step we show the involvement of an additional excited state, which in the literature has been often named the SX state, and we characterize its nature. For the latter step, we reveal an excited state decay characterized by multiple timescales, which are related to the ground-state conformational heterogeneity of the ketocarotenoid. We assigned the slowly decaying population to the so-called S* state. Finally, we identify a minor decay pathway involving double-bond photoisomerization, which could be the initial trigger to photoactivation of OCP
A polarisable QM/MM description of NMR chemical shifts of a photoreceptor protein
We present a polarisable QM/MM investigation of NMR chemical shifts of a photoreceptor protein belonging to the Blue Light-Using Flavin family. Two different structures have been proposed for this photoreceptor which show a large variability in terms of the position and orientation of the protein residues around the flavin chromophore. Here, the two structures have been investigated with our multiscale approach using both DFT and MP2 level of theory. The picture that comes out comparing the (Formula presented.) H chemical shifts of the flavin and the most strongly interacting protein residues with the available experimental data, indicates a different behaviour of the two structures, with one showing a better correlation with NMR measurements. This shows that hybrid quantum chemical-classical simulations of NMR chemical shifts can indeed become a valuable tool to investigate the structure of complex biosystems
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